Browsing PhD theses from the Department of Computer Science by Title

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  • Diao, Ren (Aberystwyth UniversityComputer Science, 2014)
    Abstract Feature selection is a term given to the problem of selecting important domain attributes which are most predictive of a given outcome. Unlike other dimensionality reduction methods, feature selection approaches ...
  • Bell, Jonathan (University of Wales AberystwythComputer Science, 2006)
    This thesis attempts to answer the question "Can we devise a language for interpretation of behavioural simulation of engineered systems (of arbitrary complexity) in terms of the systems’ purpose?" It does so by presenting ...
  • Sheldon, Michael (Aberystwyth UniversityComputer Science, 2013)
    This thesis is concerned with the emergence of communication in arti cial agents as an integrated part of a more general developmental progression. We demonstrate how early gestural communication can emerge out of sensorimotor ...
  • Q, Claire Elizabeth (Aberystwyth UniversityComputer Science, 2013)
    Abstract Can machine learning algorithms be trained to recognise beauty in music? To what extent is human recognition of beauty in music cultural, or crosscultural? Music is prevalent in all human cultures. Music ...
  • Chen, Zhili (Aberystwyth UniversityComputer Science, 2013)
    ABSTRACT Breast cancer is currently the most common cancer among women worldwide. Mammography has been the most reliable and e ective screening tool for the early detection of breast cancer. Recently, computer-aided ...
  • Mac Parthaláin, Neil (Aberystwyth University, 2009-09-23)
    Rough set theory (RST) was proposed as a mathematical tool to deal with the analysis of imprecise, uncertain or incomplete information or knowledge. It is of fundamental importance to artificial intelligence particularly ...
  • Riley, Michael (Aberystwyth UniversityComputer Science, 2009-03)
    This thesis documents the investigation into the acquisition of knowledge from biological data using computational methods for the discovery of significantly frequent patterns in gene location and phylogeny. Beginning ...

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